2 citations · 2 across the 1 of their papers we have counts for
4 papers · 1 filter
Perturb a Model, Not an Image: Towards Robust Privacy Protection via Anti-Personalized Diffusion Models
Tae-Young Lee, Juwon Seo, Jong Hwan Ko +1
Recent advances in diffusion models have enabled high-quality synthesis of specific subjects, such as identities or objects. This capability, while unlocking new possibilities in c…
ConceptSplit: Decoupled Multi-Concept Personalization of Diffusion Models via Token-wise Adaptation and Attention Disentanglement
Habin Lim, Yeongseob Won, Juwon Seo +1
In recent years, multi-concept personalization for text-to-image (T2I) diffusion models to represent several subjects in an image has gained much more attention. The main challenge…
Generative Unlearning for Any Identity
Juwon Seo, Sung-Hoon Lee, Tae-Young Lee +2
Recent advances in generative models trained on large-scale datasets have made it possible to synthesize high-quality samples across various domains. Moreover, the emergence of str…
LFS-GAN: Lifelong Few-Shot Image Generation
Juwon Seo, Ji-Su Kang, Gyeong-Moon Park
We address a challenging lifelong few-shot image generation task for the first time. In this situation, a generative model learns a sequence of tasks using only a few samples per t…